below marketmost similar roles pay hereabove market
This role pays more than
64%
of similar roles. Most pay
$172,262–$246,150
— the blue band above.
At the midpoint, this role pays about
$223k
versus about
$209k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3535 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2738 roles with salary data.
The People AI Enablement Lead joins the People Technology team to partner with business owners and engineering teams on re-engineering processes using emerging technology. This role sits at the intersection of business strategy, technology, process design, and applied AI. You will conduct structured assessments to identify workflows for AI-enabled automation, build prioritized roadmaps, and map data flows across platforms like Workday, ServiceNow, and People EDW. Responsibilities include configuring workflows using APIs, MCP servers, and orchestration tooling while defining human-in-the-loop checkpoints and governance controls. You must translate operational requirements into production-ready solutions, ensuring maintainability and security. Key skills include proficiency in SQL, scripting, and agentic workflow orchestration to solve complex operational bottlenecks and improve scalability within enterprise People environments.
Conduct structured assessments to identify workflows where AI-enabled automation can improve user experience and scalability.
Build and maintain a prioritized roadmap of AI deployment opportunities tied to specific operational KPIs.
Map structured and unstructured data flows across enterprise platforms like Workday and ServiceNow.
Configure and operationalize AI-enabled workflows using APIs, orchestration tooling, and integration layers.
Define human-in-the-loop review checkpoints, escalation paths, and governance controls for deployed workflows.
Monitor deployed agents against KPIs including cycle time, accuracy, reliability, and adoption rates.
Manage evaluations and regression testing following model updates or significant process modifications.
Maintain operational documentation including workflow maps, data lineage, and change logs.
What we're looking for
8+ years of experience in enterprise technology, AI enablement, automation, integrations, digital transformation, or related technical roles.
Experience translating complex business and operational requirements into scalable technology solutions.
Demonstrated experience designing, building, or enabling automated workflows across enterprise systems and business processes.
Hands-on technical fluency with APIs, integrations, scripting, SQL/data querying, workflow orchestration, and enterprise application platforms.
Experience working with AI-enabled applications, agentic workflows, or intelligent automation solutions in an enterprise environment.
Strong understanding of software delivery and production lifecycle concepts, including development, testing, deployment, monitoring, support, and continuous improvement.
Experience partnering across engineering, business, security, governance, UX, and platform teams to deliver enterprise solutions.
Deep technical understanding of modern AI application architecture, including LLM-powered applications, tool calling, and agentic workflow orchestration (preferred).
Generative AI
Agentic AI
Python
Java
C#
C++
Retrieval-Augmented Generation (RAG)
Microsoft AI
Copilot Studio
Power Automate
UiPath
Model Evaluation
Observability
Data Protection
Security
Governance
Automation
LLMs
RAG
Agentic Workflows
APIs
CRM
ERP
HRIS
Business Intelligence
Workflow Automation
Process Mapping
User Stories
Test Cases
SOPs
Slack
Data Platforms
Monitoring
Logging
Tracing